Accelerating multi-objective control system design using a neuro-genetic approach

作者: N.M. Duarte , A.E. Ruano , C.M. Fonseca , Bernd Mahn

DOI: 10.1016/S1474-6670(17)36873-8

关键词: Artificial neural networkAutomatic controlRadial basis functionArtificial intelligenceGenetic algorithmMathematical optimizationControl system designMachine learningComputer scienceControl systemPopulation

摘要: Designing control systems using multiobjective genetic algorithms can lead to a substantial computational load as result of the repeated evaluation multiple objectives and population-based nature search. A neural network approach, based on radial basis functions, is introduced alleviate this problem by providing computationally inexpensive estimates objective values during straightforward example demonstrates utility approach.

参考文章(11)
Young-Jou Lai, Ching-Lai Hwang, Multiple Objective Decision Making Lecture Notes in Economics and Mathematical Systems. pp. 27- 138 ,(1994) , 10.1007/978-3-642-57949-3_2
Ching-Lai Hwang, Abu Syed Md. Masud, Fuzzy Multiple Objective Decision Making: Methods And Applications ,(1996)
Christopher M. Bishop, Neural networks for pattern recognition ,(1995)
N V Dakev, J F Whidborne, A J Chipperfield, P J Fleming, Evolutionary Hinfin; design of an electromagnetic suspension control system for a maglev vehicle: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. ,vol. 211, pp. 345- 355 ,(1997) , 10.1243/0959651971539876
V. Zakian, U. Al-Naib, Design of dynamical and control systems by the method of inequalities Proceedings of the Institution of Electrical Engineers. ,vol. 120, pp. 1421- 1427 ,(1973) , 10.1049/PIEE.1973.0289
A. Chipperfield, P. Fleming, Multiobjective gas turbine engine controller design using genetic algorithms IEEE Transactions on Industrial Electronics. ,vol. 43, pp. 583- 587 ,(1996) , 10.1109/41.538616
Ching-Lai Hwang, Abu Syed Md. Masud, Methods for Multiple Objective Decision Making Springer Berlin Heidelberg. pp. 21- 283 ,(1979) , 10.1007/978-3-642-45511-7_3